The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-08"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "12041480 (up from 11829602 yesterday: 1.79 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "549468 (up from 544163 yesterday: 0.97 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 3691530

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.56



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 3054699 58601 1.96 891409 132300 820 0.62 4.33
Brazil 1713160 44571 2.67 757783 67964 1223 1.83 3.97
India 767296 24879 3.35 400350 21129 487 2.36 2.75
Russia 699749 6534 0.94 147200 10650 172 1.64 1.52
Peru 312911 3633 1.17 72003 11133 181 1.65 3.56
Chile 303083 2064 0.69 82455 6573 139 2.16 2.17
United Kingdom 288511 637 0.22 -12206 44602 126 0.28 15.46
Mexico 275003 6995 2.61 115210 32796 782 2.44 11.93
Spain 252513 383 0.15 7830 28396 4 0.01 11.25
Iran 248379 2691 1.10 53328 12084 153 1.28 4.87
Italy 242149 193 0.08 4321 34914 15 0.04 14.42
Pakistan 240848 3359 1.41 80730 4983 61 1.24 2.07
South Africa 224665 8810 4.08 144253 3602 100 2.86 1.60
Saudi Arabia 220144 3036 1.40 78910 2059 42 2.08 0.94
Turkey 208938 1041 0.50 26211 5282 22 0.42 2.53
France 206072 0 0.00 11267 29936 0 0.00 14.53
Germany 198699 356 0.18 10095 9046 14 0.16 4.55
Bangladesh 172134 3489 2.07 73645 2197 46 2.14 1.28
Colombia 124494 4213 3.50 69411 4606 154 3.46 3.70
Canada 108334 311 0.29 6843 8786 21 0.24 8.11
Qatar 101553 608 0.60 18379 138 4 2.99 0.14
Argentina 87030 3604 4.32 51478 1694 50 3.04 1.95
China 84950 33 0.04 492 4641 0 0.00 5.46
Egypt 78304 1025 1.33 29085 3564 75 2.15 4.55
Sweden 73858 514 0.70 19296 5482 35 0.64 7.42
Indonesia 68079 1853 2.80 26648 3359 50 1.51 4.93
Iraq 67442 2741 4.24 43188 2779 94 3.50 4.12
Belarus 64224 221 0.35 8192 443 7 1.61 0.69
Ecuador 63245 0 0.00 14755 4873 0 0.00 7.70
Belgium 62123 65 0.10 1879 9776 2 0.02 15.74
United Arab Emirates 53045 445 0.85 9681 327 1 0.31 0.62
Kuwait 52007 762 1.49 14474 379 2 0.53 0.73
Ukraine 51457 835 1.65 17471 1323 24 1.85 2.57
Kazakhstan 51059 0 0.00 35182 264 0 0.00 0.52
Netherlands 50959 52 0.10 1547 6154 3 0.05 12.08
Philippines 50359 2486 5.19 23121 1314 5 0.38 2.61
Oman 50207 1210 2.47 24128 233 9 4.02 0.46
Singapore 45298 158 0.35 4082 26 0 0.00 0.06
Portugal 44859 443 1.00 7187 1631 2 0.12 3.64
Bolivia 42984 1439 3.46 22299 1577 47 3.07 3.67
Panama 41251 960 2.38 18654 819 20 2.50 1.99
Dominican Republic 39588 1158 3.01 15483 829 8 0.97 2.09
Poland 36689 277 0.76 5988 1542 14 0.92 4.20
Afghanistan 33594 210 0.63 6720 936 16 1.74 2.79
Israel 33557 1335 4.14 13774 344 2 0.58 1.03
Switzerland 32498 129 0.40 1311 1966 0 0.00 6.05
Bahrain 30931 610 2.01 10970 98 0 0.00 0.32
Nigeria 30249 460 1.54 12514 684 15 2.24 2.26
Romania 30175 555 1.87 7415 1817 18 1.00 6.02
Armenia 29820 535 1.83 11787 521 18 3.58 1.75
Honduras 25978 550 2.16 15679 694 17 2.51 2.67
Ireland 25542 4 0.02 201 1738 -4 -0.23 6.80
Guatemala 25411 624 2.52 14160 1053 49 4.88 4.14
Ghana 22822 854 3.89 10232 129 0 0.00 0.57
Azerbaijan 21916 542 2.54 10925 274 9 3.40 1.25
Japan 20261 206 1.03 2731 982 1 0.10 4.85
Austria 18513 92 0.50 1310 706 0 0.00 3.81
Moldova 18471 330 1.82 5739 614 11 1.82 3.32
Algeria 17348 469 2.78 6080 978 10 1.03 5.64
Serbia 17076 357 2.14 4554 341 11 3.33 2.00
Nepal 16423 255 1.58 9246 35 0 0.00 0.21
Cameroon 14916 0 0.00 5052 359 0 0.00 2.41
Morocco 14771 164 1.12 5774 242 2 0.83 1.64
Korea, South 13293 49 0.37 1036 287 2 0.70 2.16
Denmark 13101 12 0.09 607 609 0 0.00 4.65
Czechia 12814 129 1.02 2652 351 0 0.00 2.74
Cote d’Ivoire 11504 310 2.77 5441 78 2 2.63 0.68
Uzbekistan 11092 254 2.34 5410 45 4 9.76 0.41
Sudan 10084 87 0.87 2064 636 14 2.25 6.31

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 398929 692 0.17 13787 32251 8 0.02 8.08 20506.73 1657.85 1 in 49
California 292560 8548 3.01 129762 6718 145 2.21 2.30 7404.29 170.02 1 in 135
Texas 224929 8903 4.12 127230 2875 97 3.49 1.28 7757.27 99.15 1 in 129
Florida 223783 9989 4.67 141064 3889 48 1.25 1.74 10419.30 181.07 1 in 96
New Jersey 174039 161 0.09 6336 15332 51 0.33 8.81 19594.15 1726.15 1 in 51
Illinois 150554 980 0.66 16369 7309 36 0.49 4.85 11881.01 576.79 1 in 84
Massachusetts 110602 264 0.24 4451 8243 30 0.37 7.45 15915.09 1186.13 1 in 63
Arizona 108614 3520 3.35 67677 1963 36 1.87 1.81 14263.37 257.78 1 in 70
Georgia 103890 3420 3.40 43860 2922 23 0.79 2.81 9784.86 275.21 1 in 102
Pennsylvania 96725 827 0.86 12436 6812 25 0.37 7.04 7555.47 532.10 1 in 132
North Carolina 77687 1397 1.83 30753 1462 16 1.11 1.88 7407.17 139.40 1 in 135
Michigan 74551 651 0.88 8054 6262 11 0.18 8.40 7464.91 627.02 1 in 134
Maryland 70861 465 0.66 7892 3275 9 0.28 4.62 11720.93 541.71 1 in 85
Louisiana 70151 1888 2.77 21517 3339 20 0.60 4.76 15090.15 718.25 1 in 66
Virginia 67375 635 0.95 11600 1905 24 1.28 2.83 7893.49 223.19 1 in 127
Ohio 60181 1277 2.17 17759 2991 21 0.71 4.97 5148.47 255.88 1 in 194
Tennessee 55986 2472 4.62 23872 685 20 3.01 1.22 8193.26 100.25 1 in 122
Indiana 49063 437 0.90 8050 2732 15 0.55 5.57 7287.79 405.81 1 in 137
South Carolina 48909 1557 3.29 28353 884 38 4.49 1.81 9499.27 171.69 1 in 105
Connecticut 47108 75 0.16 1679 4343 5 0.12 9.22 13212.96 1218.13 1 in 76
Alabama 46962 1177 2.57 19650 1058 25 2.42 2.25 9577.86 215.78 1 in 104
Minnesota 39589 456 1.17 8293 1523 9 0.59 3.85 7019.78 270.05 1 in 142
Washington 37941 521 1.39 11157 1394 10 0.72 3.67 4982.47 183.06 1 in 201
Colorado 35099 452 1.30 5443 1704 8 0.47 4.85 6094.91 295.90 1 in 164
Wisconsin 33154 598 1.84 9698 807 2 0.25 2.43 5694.18 138.60 1 in 176
Mississippi 32888 674 2.09 12247 1188 30 2.59 3.61 11050.52 399.17 1 in 90
Iowa 32624 471 1.46 8164 736 4 0.55 2.26 10340.18 233.28 1 in 97
Utah 26755 722 2.77 11411 201 7 3.61 0.75 8345.40 62.70 1 in 120
Missouri 25590 672 2.70 8521 1069 2 0.19 4.18 4169.50 174.18 1 in 240
Arkansas 25246 734 2.99 11640 305 4 1.33 1.21 8365.63 101.07 1 in 120
Nevada 24301 516 2.17 12447 553 5 0.91 2.28 7889.54 179.54 1 in 127
Nebraska 20425 224 1.11 3194 282 0 0.00 1.38 10558.79 145.78 1 in 95
Kentucky 17919 400 2.28 4924 608 6 1.00 3.39 4010.81 136.09 1 in 249
Oklahoma 17894 674 3.91 8990 407 3 0.74 2.27 4522.15 102.86 1 in 221
Kansas 17332 472 2.80 5688 289 0 0.00 1.67 5949.24 99.20 1 in 168
Rhode Island 17204 50 0.29 991 971 2 0.21 5.64 16239.98 916.59 1 in 62
New Mexico 14017 290 2.11 3952 527 8 1.54 3.76 6684.86 251.33 1 in 150
Delaware 12462 48 0.39 2018 515 1 0.19 4.13 12797.76 528.88 1 in 78
Oregon 10817 212 2.00 4599 224 4 1.82 2.07 2564.65 53.11 1 in 390
District of Columbia 10642 73 0.69 795 564 3 0.53 5.30 15079.02 799.15 1 in 66
Idaho 8969 430 5.04 5337 98 4 4.26 1.09 5004.84 54.69 1 in 200
Puerto Rico 8745 31 0.36 2742 159 2 1.27 1.82 2738.21 49.79 1 in 365
South Dakota 7242 79 1.10 1192 98 0 0.00 1.35 8186.21 110.78 1 in 122
New Hampshire 5952 20 0.34 516 386 2 0.52 6.49 4377.40 283.88 1 in 228
North Dakota 3971 73 1.87 805 85 1 1.19 2.14 5210.86 111.54 1 in 192
West Virginia 3707 202 5.76 1331 95 0 0.00 2.56 2074.26 53.16 1 in 482
Maine 3460 20 0.58 624 110 0 0.00 3.18 2574.00 81.83 1 in 389
Wyoming 1740 31 1.81 626 21 0 0.00 1.21 3006.43 36.28 1 in 333
Montana 1371 44 3.32 741 23 0 0.00 1.68 1282.77 21.52 1 in 780
Vermont 1256 2 0.16 126 56 0 0.00 4.46 2012.86 89.75 1 in 497
Alaska 1222 42 3.56 527 17 0 0.00 1.39 1670.44 23.24 1 in 599
Hawaii 1094 23 2.15 350 19 0 0.00 1.74 772.67 13.42 1 in 1294

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 New York 4402452 398929 9.06 1291333 13787 1.07 226305.71
2 California 4996175 292560 5.86 1998187 129762 6.49 126446.32
3 Texas 2258708 224929 9.96 889070 127230 14.31 77897.55
4 Florida 2320207 223783 9.64 834448 141064 16.91 108028.47
5 New Jersey 1577848 174039 11.03 430007 6336 1.47 177641.78
6 Illinois 1843698 150554 8.17 584509 16369 2.80 145495.90
7 Massachusetts 915995 110602 12.07 183949 4451 2.42 131807.27
8 Arizona 641070 108614 16.94 274877 67677 24.62 84186.34
9 Georgia 1000409 103890 10.38 349942 43860 12.53 94223.33
10 Pennsylvania 866526 96725 11.16 253695 12436 4.90 67686.83
11 North Carolina 1096682 77687 7.08 429260 30753 7.16 104564.57
12 Michigan 1200003 74551 6.21 350118 8054 2.30 120158.22
13 Maryland 603108 70861 11.75 161765 7892 4.88 99758.51
14 Louisiana 865737 70151 8.10 320516 21517 6.71 186228.30
15 Virginia 737999 67375 9.13 243658 11600 4.76 86462.11
16 Ohio 915252 60181 6.58 330689 17759 5.37 78299.61
17 Tennessee 950959 55986 5.89 306386 23872 7.79 139167.98
18 Indiana 535857 49063 9.16 164675 8050 4.89 79595.90
19 South Carolina 453840 48909 10.78 181086 28353 15.66 88146.28
20 Connecticut 537444 47108 8.77 169586 1679 0.99 150743.54
21 Alabama 468292 46962 10.03 157569 19650 12.47 95507.72
22 Minnesota 692970 39589 5.71 244383 8293 3.39 122875.04
23 Washington 635524 37941 5.97 155498 11157 7.18 83458.03
24 Colorado 365073 35099 9.61 108406 5443 5.02 63394.64
25 Wisconsin 647560 33154 5.12 200370 9698 4.84 111218.09
26 Mississippi 314727 32888 10.45 70338 12247 17.41 105749.75
27 Iowa 346351 32624 9.42 111220 8164 7.34 109776.01
28 Utah 385760 26755 6.94 107068 11411 10.66 120325.97
29 Missouri 442340 25590 5.79 157338 8521 5.42 72072.54
30 Arkansas 353272 25246 7.15 132573 11640 8.78 117061.79
31 Nevada 323653 24301 7.51 96043 12447 12.96 105076.82
32 Nebraska 195048 20425 10.47 52661 3194 6.07 100830.85
33 Kentucky 451921 17919 3.97 152052 4924 3.24 101153.55
34 Oklahoma 394823 17894 4.53 129391 8990 6.95 99779.10
35 Kansas 208482 17332 8.31 66358 5688 8.57 71561.80
36 Rhode Island 163270 17204 10.54 -43200 991 -2.29 154121.21
37 New Mexico 385242 14017 3.64 113689 3952 3.48 183726.00
38 Delaware 129034 12462 9.66 42447 2018 4.75 132510.55
39 Oregon 276267 10817 3.92 91917 4599 5.00 65501.24
40 District of Columbia 114289 10642 9.31 44203 795 1.80 161940.01
41 Idaho 111331 8969 8.06 44547 5337 11.98 62124.42
43 South Dakota 86226 7242 8.40 17238 1192 6.91 97468.06
44 New Hampshire 128511 5952 4.63 28425 516 1.82 94513.47
45 North Dakota 115839 3971 3.43 26165 805 3.08 152007.32
46 West Virginia 193915 3707 1.91 52545 1331 2.53 108505.34
47 Maine 112938 3460 3.06 38920 624 1.60 84018.00
48 Wyoming 37818 1740 4.60 2749 626 22.77 65343.26
49 Montana 106421 1371 1.29 40906 741 1.81 99572.60
50 Vermont 71756 1256 1.75 18093 126 0.70 114995.62
51 Alaska 133401 1222 0.92 55692 527 0.95 182355.15
52 Hawaii 87096 1094 1.26 23853 350 1.47 61514.04

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 230599 13478 6.21 127259 55.19 93654 9667 417 4.51 4.19
Tamil Nadu 126581 7987 6.73 78161 61.75 46655 1765 129 7.89 1.39
Delhi 107051 4220 4.10 82226 76.81 21567 3258 93 2.94 3.04
Gujarat 39280 1644 4.37 27742 70.63 9529 2009 31 1.57 5.11
Uttar Pradesh 32362 2394 7.99 21127 65.28 10373 862 35 4.23 2.66
Karnataka 31105 4290 16.00 12835 41.26 17778 488 71 17.03 1.57
Telangana 30946 3334 12.07 18192 58.79 12423 331 18 5.75 1.07
West Bengal 25911 2074 8.70 16826 64.94 8231 854 50 6.22 3.30
Andhra Pradesh 23814 2617 12.35 12154 51.04 11383 277 25 9.92 1.16
Rajasthan 22563 1159 5.41 17070 75.65 5002 491 19 4.03 2.18
Haryana 19364 1365 7.58 14505 74.91 4572 287 8 2.87 1.48
Madhya Pradesh 16341 714 4.57 12232 74.85 3475 634 12 1.93 3.88
Assam 14601 1264 9.48 9148 62.65 5423 27 11 68.75 0.18
Bihar 13978 1453 11.60 9792 70.05 4077 109 11 11.22 0.78
Odisha 11201 1104 10.93 7407 66.13 3727 67 13 24.07 0.60
Jammu and Kashmir 9501 570 6.38 5695 59.94 3652 154 11 7.69 1.62
Punjab 7140 391 5.79 4945 69.26 2012 183 8 4.57 2.56
Kerala 6535 640 10.86 3708 56.74 2795 28 0 0.00 0.43
State Unassigned 4385 -649 -12.89 0 0.00 4385 0 0 NaN 0.00
Chhattisgarh 3666 251 7.35 2903 79.19 748 15 1 7.14 0.41
Uttarakhand 3305 75 2.32 2672 80.85 558 46 3 6.98 1.39
Jharkhand 3268 250 8.28 2210 67.63 1035 23 1 4.55 0.70
Goa 2151 248 13.03 1273 59.18 869 9 1 12.50 0.42
Tripura 1789 73 4.25 1338 74.79 437 1 0 0.00 0.06
Manipur 1450 20 1.40 799 55.10 651 0 0 NaN 0.00
Puducherry 1200 157 15.05 619 51.58 565 16 2 14.29 1.33
Himachal Pradesh 1140 57 5.26 833 73.07 284 10 0 0.00 0.88
Ladakh 1055 14 1.34 915 86.73 139 1 0 0.00 0.09
Nagaland 673 29 4.50 304 45.17 369 0 0 NaN 0.00
Chandigarh 523 31 6.30 403 77.06 113 7 0 0.00 1.34
Dadra and Nagar Haveli and Daman and Diu 456 29 6.79 205 44.96 247 1 0 0.00 0.22
Arunachal Pradesh 302 26 9.42 120 39.74 180 2 0 0.00 0.66
Mizoram 203 5 2.53 143 70.44 60 0 0 NaN 0.00
Andaman and Nicobar Islands 156 9 6.12 83 53.21 73 0 0 NaN 0.00
Sikkim 134 7 5.51 71 52.99 50 0 0 NaN 0.00
Meghalaya 113 19 20.21 45 39.82 67 1 0 0.00 0.88
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1103015 94651 71 0.08 8.58 211 34 8460 16725 17.67
Piemonte 438250 31459 25 0.08 7.18 205 8 1140 4107 13.06
Emilia-Romagna 531089 28755 49 0.17 5.41 99 10 1071 4269 14.85
Veneto 1031906 19348 7 0.04 1.87 17 3 386 2034 10.51
Toscana 360262 10313 7 0.07 2.86 12 2 341 1118 10.84
Liguria 157429 10006 3 0.03 6.36 36 1 287 1558 15.57
Lazio 357307 8224 14 0.17 2.30 198 13 874 842 10.24
Marche 145099 6794 3 0.04 4.68 5 0 184 987 14.53
P.A. Trento 129180 4876 0 0.00 3.77 3 0 37 405 8.31
Campania 296630 4750 3 0.06 1.60 36 0 228 432 9.09
Puglia 193757 4536 1 0.02 2.34 14 0 78 546 12.04
Friuli Venezia Giulia 204580 3331 4 0.12 1.63 8 0 82 345 10.36
Abruzzo 111752 3310 1 0.03 2.96 27 0 145 464 14.02
Sicilia 227239 3097 1 0.03 1.36 7 0 127 283 9.14
P.A. Bolzano 88462 2650 2 0.08 3.00 6 0 83 292 11.02
Umbria 102611 1447 0 0.00 1.41 3 0 7 80 5.53
Sardegna 89561 1371 0 0.00 1.53 3 0 10 134 9.77
Valle d’Aosta 19052 1196 0 0.00 6.28 4 0 5 146 12.21
Calabria 101642 1185 1 0.08 1.17 4 0 28 97 8.19
Molise 23963 445 0 0.00 1.86 0 0 17 23 5.17
Basilicata 41330 405 1 0.25 0.98 1 0 5 27 6.67

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 56079 82 0.15 5603 13 0.23 9.99 6568.42 656.27 1 in 152
Ontario 38079 162 0.43 2748 4 0.15 7.22 2588.33 186.79 1 in 386
Alberta 8482 46 0.55 158 1 0.64 1.86 1921.98 35.80 1 in 520
British Columbia 3008 18 0.60 186 3 1.64 6.18 588.54 36.39 1 in 1699
Nova Scotia 1066 1 0.09 63 0 0.00 5.91 1090.59 64.45 1 in 917
Saskatchewan 808 2 0.25 15 0 0.00 1.86 683.78 12.69 1 in 1462
Manitoba 325 0 0.00 7 0 0.00 2.15 235.93 5.08 1 in 4239
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 165 0 0.00 2 0 0.00 1.21 211.54 2.56 1 in 4727
Prince Edward Island 32 0 0.00 0 0 NaN 0.00 202.33 0.00 1 in 4942
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1647 8 0.49
Hong Kong 1323 7 0.53
Henan 1276 22 1.72
Zhejiang 1269 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 929 9 0.97
Shandong 792 7 0.88
Shanghai 721 7 0.97
Jiangsu 654 0 0.00
Sichuan 599 3 0.50
Chongqing 582 6 1.03
Fujian 363 1 0.28
Hebei 349 6 1.72
Shaanxi 321 3 0.93
Guangxi 254 2 0.79
Inner Mongolia 244 1 0.41
Shanxi 199 0 0.00
Tianjin 199 3 1.51
Yunnan 187 2 1.07
Hainan 171 6 3.51
Gansu 167 2 1.20
Liaoning 162 2 1.23
Jilin 155 2 1.29
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 9335.88 404.34 1 in 107
Brazil 8185.19 324.72 1 in 122
India 573.04 15.78 1 in 1745
Russia 4842.55 73.70 1 in 207
Peru 9726.80 346.07 1 in 103
Chile 16791.30 364.16 1 in 60
United Kingdom 4342.43 671.31 1 in 230
Mexico 2128.51 253.84 1 in 470
Spain 5411.77 608.57 1 in 185
Iran 3060.36 148.89 1 in 327
Italy 4003.79 577.28 1 in 250
Pakistan 1222.58 25.29 1 in 818
South Africa 3960.95 63.50 1 in 252
Saudi Arabia 6683.18 62.51 1 in 150
Turkey 2585.55 65.36 1 in 387
France 3076.16 446.87 1 in 325
Germany 2400.04 109.26 1 in 417
Bangladesh NA NA 1 in NA
Colombia 2537.07 93.87 1 in 394
Canada 2881.99 233.73 1 in 347

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 217777 23224 10.66
Los Angeles California 123256 3643 2.96
Cook Illinois 93496 4664 4.99
Maricopa Arizona 70128 959 1.37
Miami-Dade Florida 53974 1068 1.98
Nassau New York 42122 2188 5.19
Suffolk New York 41799 1985 4.75
Harris Texas 40012 411 1.03
Westchester New York 35154 1431 4.07
Dallas Texas 29160 426 1.46
Philadelphia Pennsylvania 26969 1628 6.04
Middlesex Massachusetts 24300 1897 7.81
Broward Florida 23781 419 1.76
Wayne Michigan 23597 2743 11.62
Riverside California 21957 515 2.35
Orange California 20225 376 1.86
Clark Nevada 20126 454 2.26
Suffolk Massachusetts 20120 1012 5.03
Bergen New Jersey 19732 2010 10.19
Prince George’s Maryland 19285 699 3.62
Hudson New Jersey 19024 1462 7.69
Essex New Jersey 18920 2046 10.81
Palm Beach Florida 18231 569 3.12
San Diego California 17842 406 2.28
Passaic New Jersey 16978 1204 7.09
Middlesex New Jersey 16956 1348 7.95
Fairfield Connecticut 16859 1378 8.17
Bexar Texas 16725 146 0.87
San Bernardino California 16586 293 1.77
Union New Jersey 16443 1330 8.09
Essex Massachusetts 16342 1131 6.92
Hillsborough Florida 16099 163 1.01
Tarrant Texas 15585 248 1.59
Montgomery Maryland 15400 752 4.88
Orange Florida 15194 63 0.41
Fairfax Virginia 14253 495 3.47
Rockland New York 13679 668 4.88
Mecklenburg North Carolina 13489 158 1.17
Salt Lake Utah 13343 122 0.91
Providence Rhode Island 13144 0 0.00
Milwaukee Wisconsin 12728 397 3.12
Hennepin Minnesota 12703 789 6.21
Worcester Massachusetts 12562 949 7.55
Shelby Tennessee 12549 208 1.66
New Haven Connecticut 12486 1079 8.64
Oakland Michigan 12408 1096 8.83
Travis Texas 12408 151 1.22
Davidson Tennessee 12234 132 1.08
Hartford Connecticut 11835 1382 11.68
Marion Indiana 11760 689 5.86
King Washington 11284 628 5.57
Franklin Ohio 10879 439 4.04
Orange New York 10806 484 4.48
District of Columbia District of Columbia 10642 564 5.30
Pima Arizona 10485 302 2.88
Jefferson Louisiana 10452 488 4.67
Duval Florida 10439 70 0.67
Gwinnett Georgia 10237 175 1.71
Lake Illinois 10104 427 4.23
Ocean New Jersey 9753 986 10.11
DuPage Illinois 9454 480 5.08
Pinellas Florida 9395 209 2.22
Monmouth New Jersey 9362 825 8.81
Fulton Georgia 9358 319 3.41
Norfolk Massachusetts 9339 943 10.10
Plymouth Massachusetts 8765 673 7.68
Puerto Rico 8745 159 1.82
Montgomery Pennsylvania 8718 818 9.38
Baltimore Maryland 8443 490 5.80
Bristol Massachusetts 8365 592 7.08
Orleans Louisiana 8287 536 6.47
Cuyahoga Ohio 8277 383 4.63
Lee Florida 8125 171 2.10
Baltimore City Maryland 8071 355 4.40
El Paso Texas 8035 144 1.79
Kane Illinois 7949 280 3.52
Yuma Arizona 7775 118 1.52
Yakima Washington 7753 174 2.24
Mercer New Jersey 7751 595 7.68
Douglas Nebraska 7684 97 1.26
Prince William Virginia 7664 151 1.97
Macomb Michigan 7651 923 12.06
Erie New York 7596 639 8.41
Camden New Jersey 7573 538 7.10
Denver Colorado 7563 387 5.12
Imperial California 7464 125 1.67
Delaware Pennsylvania 7427 662 8.91
DeKalb Georgia 7362 175 2.38
Out of GA Georgia 7352 51 0.69
St. Louis Missouri 7284 593 8.14
Fresno California 7281 84 1.15
Alameda California 7245 142 1.96
Will Illinois 7061 322 4.56
Hampden Massachusetts 6903 672 9.73
Morris New Jersey 6854 810 11.82
Polk Iowa 6827 181 2.65
Wake North Carolina 6471 54 0.83
Charleston South Carolina 6337 47 0.74
East Baton Rouge Louisiana 6336 276 4.36
Hamilton Ohio 6287 206 3.28

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc